In the 26-criteria evaluation of continuous delivery and release automation (CDRA) providers, we identified the 15 most significant — Atlassian, CA technologies, Chef Software, Clarive, CloudBees, electric Cloud, Flexagon, Hewlett packard enterprise (Hpe), IBM, Micro Focus, Microsoft, puppet, Red Hat, VMware, and Xebialabs — and researched, analyzed, and scored them. We focused on core features, including modeling, deploying, managing, governing, and visualizing pipelines, and on each vendor’s ability to match a strategy to these features. this report helps infrastructure and operations (I&o) professionals make the right choice when looking for CDRA solutions for their development and operations (Devops) automation.
Gaps in care in health systems cause higher mortality rates and inflate costs. Download this case study for a closer look at how one health system used IBM CareDiscovery data to prove to their board that an outpatient palliative care service line was viable in both cost savings and quality of care improvement.
IBM DB2 with BLU Acceleration helps tackle the challenges presented by big data. It delivers analytics at the speed of thought, always-available transactions, future-proof versatility, disaster recovery and streamlined ease-of-use to unlock the value of data.
Experience IBM Watson Order Optimizer
How can retailers efficiently leverage inventory from one channel to serve another without breaking the bank?
See how IBM Watson Order Optimizer helps Fulfillment, Operations, and Inventory:
Gain a holistic view of omni-channel operations across different functional areas
Optimize in real-time against multiple, competing business objectives
Utilize inventory at its most profitable price point
Make better fulfillment decisions with cognitive insights
Many retailers are investing in distributed order management systems to optimize their consumer order fulfilment performance. Chief supply chain officers can use this research to successfully implement these systems into their business application landscape.
"The appearance of your reports and dashboards – the actual visual appearance of your data analysis -- is important. An ugly or confusing report may be dismissed, even though it contains valuable insights about your data. Cognos Analytics has a long track record of high quality analytic insight, and now, we added a lot of new capabilities designed to help even novice users quickly and easily produce great-looking and consumable reports you can trust.
Watch this webinar to learn:
• How you can more effectively communicate with data.
• What constitutes an intuitive and highly navigable report
• How take advantage of some of the new capabilities in Cognos Analytics to create reports that are more compelling and understandable in less time.
• Some of the new and exciting capabilities coming to Cognos Analytics in 2018 (hint: more intelligent capabilities with enhancements to Natural Language Processing, data discovery and Machine Learning)."
"Today’s business users want to use all types of data to create compelling, shareable visualizations. But charts and graphs alone may not convey all the information, especially when they are part of a complex series. An audience can best understand analytic results when those results tell a story that connects all the pieces together. The right visuals can also reinforce the lessons buried in the data.
Stories are powerful mechanism to communicate with people. Stories stick and make insights actionable, so it goes without saying that storytelling is a very powerful (soft) skill. In this webinar, you'll learn how to effectively apply storytelling best practices to get your message across. Especially in the world of BI, it is getting more and more important to effectively communicate business results.
Watch this webinar to learn how to use IBM Cognos Analytics to:
· Create the important elements of a good story
· Put the data in context
· Select the best type of ch
"What would you do if you didn’t have to rely on disparate analytics solutions to meet the needs of business users while following the rules of IT?
View this 'Charting Your Analytical Future' webinar to learn about a world of innovation and independence for users that does not limit the confidence and controls of IT.
With the cognitive-guided self-service features available in IBM business analytics solutions, more users than ever before can get the answers they need. Next-generation business analytics capabilities make it possible to access relevant data, prepare it for analysis and understand performance. But it doesn’t stop there. Users can package the results in a visually-appealing format and share them throughout the organization.
Don’t miss this opportunity to hear how you can:
* Benefit from advanced analytics without the complexity
* Operationalize insights and dashboards from a collection of trusted data sources
* Tell your story with rich visualizations and geospati
Security and risk management leaders are implementing and expanding SIEM to improve early targeted attack detection and response. Advanced users seek SIEM with advanced profiling, analytics and response features.
If you are relying on a basic log manager or spreadsheets to manage security alerts, you may be missing critical threats in your network. You could boost your team's productivity with a modern SIEM platform.
In this E-Book, you will learn the five most critical questions that you need to ask in order to determine the best security analytics solution for your organization.
Cloud has evolved from a technological innovation to an integral part of business. Companies in
every industry are investing in Digital Transformation initiatives to evolve and grow; often, cloudbased
platforms are foundational elements of these transformations, as businesses increasingly seek the
flexibility and agility to roll out new software services in days or weeks, versus months or years.
As Digital Transformation initiatives unfold, one key challenge is to modernize the data center to
facilitate rapid delivery of new applications and services—while still ensuring that existing missioncritical
applications remain high performing, available, and secure.
Another challenge relates to new requirements for accelerating the analysis of organizational data to
near real time, much faster than previously possible with earlier incarnations of Business Intelligence
(BI). Agile businesses are demanding faster access to the information contained within operational and
business data stores to
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